Designer Brands - Columbus, OH
posted 4 months ago
The Machine Learning Engineer at Designer Brands is a pivotal role responsible for developing integrated AI/ML solutions that drive business value across the organization. This position involves designing, building, and deploying AI and machine learning models on cloud platforms such as GCP and Azure Open AI. The engineer will work with both structured and unstructured data, leveraging programming and data science skills to automate processes and enhance efficiency. The ideal candidate will possess a strong programming background and an analytical mindset, enabling them to translate complex technical requirements into actionable business solutions. They will be expected to thrive in a fast-paced environment, demonstrating proactivity, goal orientation, and teamwork. In this role, the Machine Learning Engineer will collaborate with various stakeholders to understand their requirements, assimilate necessary data, and build predictive and prescriptive models. They will also be responsible for developing and implementing RAG architecture for model deployment, working closely with cloud data engineers to ensure efficient inference. The engineer will build an AI infrastructure that sets standards for leveraging cloud platforms, enabling and educating citizen data scientists to utilize machine learning effectively. Additionally, they will drive cross-functional teams to meet business objectives, influence stakeholders, and maintain strong working relationships. The position requires the ability to lead multiple initiatives and projects, developing custom self-service solutions that cater to various stakeholder groups. The Machine Learning Engineer will furnish analyses with insights while ensuring accuracy and completeness, identifying areas for improvement to maximize organizational value. This role is essential for aligning data solutions with business KPIs and goals, ultimately contributing to the strategic priorities of Designer Brands.